{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Testing notebook: heart sound prediction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Advertencia**: La siguiente celda debe ser ejecutada **SOLO UNA VEZ** durante la sesión."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-15T17:15:14.257584Z",
     "start_time": "2021-11-15T17:15:14.242956Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "\n",
    "# Definición de la carpeta actual\n",
    "current = os.getcwd()\n",
    "# Obtener la carpeta parent\n",
    "parent = os.path.dirname(current)\n",
    "# Agregando a las carpetas a revisar\n",
    "os.chdir(parent)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Test de sanidad**: Asegurarse de que la carpeta sea la correcta."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-15T17:15:15.237910Z",
     "start_time": "2021-11-15T17:15:15.224770Z"
    }
   },
   "outputs": [],
   "source": [
    "assert os.getcwd().split('\\\\')[-1] == 'Heart Sound Prediction'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-15T17:15:18.446155Z",
     "start_time": "2021-11-15T17:15:15.482515Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "# Imports\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from prediction_functions import find_and_open_audio, hss_segmentation\n",
    "from hsp_utils.filter_and_sampling import downsampling_signal\n",
    "\n",
    "# Parámetros de las funciones\n",
    "lowpass_params = {'freq_pass': 140, 'freq_stop': 150}\n",
    "model_name = 'definitive_segnet_based'\n",
    "db_folder = 'samples_test'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Segmentación de sonidos cardiorrespiratorios"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En primer lugar se selecciona un archivo disponible en la carpeta `samples_test` utilizando la función `find_and_open_audio`. Se buscará obtener también sus etiquetas reales de posición de sonido cardiaco."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-15T17:15:50.997447Z",
     "start_time": "2021-11-15T17:15:49.548587Z"
    },
    "code_folding": [],
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Seleccione el archivo que desea descomponer:\n",
      "[1] 015_Patient006_Dis0.wav\n",
      "[2] 041_Patient010_Dis0.wav\n",
      "[3] 056_Patient013_Dis0.wav\n",
      "[4] 080_Patient018_Dis0.wav\n",
      "[5] 143_Patient030_Dis1.wav\n",
      "[6] 151_Patient031_Dis0.wav\n",
      "[7] 197_Patient041_Dis1.wav\n",
      "[8] 248_Patient053_Dis0.wav\n",
      "[9] 267_Patient057_Dis1.wav\n",
      "[10] 347_Patient067_Dis0.wav\n",
      "[11] 364_Patient070_Dis0.wav\n",
      "[12] 416_Patient078_Dis0.wav\n",
      "[13] 435_Patient081_Dis1.wav\n",
      "[14] 483_Patient085_Dis1.wav\n",
      "[15] 500_Patient087_Dis1.wav\n",
      "[16] 571_Patient101_Dis1.wav\n",
      "[17] 626_Patient109_Dis1.wav\n",
      "[18] 701_Patient118_Dis1.wav\n",
      "[19] 719_Patient120_Dis1.wav\n",
      "[20] 763_Patient127_Dis0.wav\n",
      "Selección: 13\n"
     ]
    }
   ],
   "source": [
    "# Cargando el archivo de audio \n",
    "(audio, samplerate), labels = find_and_open_audio(db_folder=db_folder, true_value=True)\n",
    "audio = audio / max(abs(audio))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se aplica el algoritmo de segmentación utilizando la función `hss_segmentation` del módulo `prediction_functions.py`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-15T17:21:55.461426Z",
     "start_time": "2021-11-15T17:21:53.372947Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Samplerate adecuado a fs = 1000 Hz.\n",
      "Señal acondicionada a 1000 Hz para la segmentación.\n",
      "1/1 [==============================] - 0s 2ms/step\n"
     ]
    }
   ],
   "source": [
    "# Obteniendo la salida de la red\n",
    "_, y_hat_to, (y_out2, y_out3, y_out4) = \\\n",
    "        hss_segmentation(audio, samplerate, model_name,\n",
    "                         length_desired=len(audio),\n",
    "                         lowpass_params=lowpass_params,\n",
    "                         plot_outputs=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gráficos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-15T17:26:55.933885Z",
     "start_time": "2021-11-15T17:26:55.603924Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creación de la figura\n",
    "fig, axs = plt.subplots(3, 1, figsize=(15,10), sharex=True, frameon=True)\n",
    "\n",
    "audio_data_plot = 0.5 * audio / max(abs(audio))\n",
    "axs[0].plot(audio_data_plot + 0.5, label=r'$s(n)$', color='silver', zorder=0)\n",
    "axs[0].plot(y_hat_to[0,:,0], label=r'$S_0$', color='limegreen', zorder=2)\n",
    "axs[0].plot(y_hat_to[0,:,1], label=r'$S_1$', color='red', zorder=1)\n",
    "axs[0].plot(y_hat_to[0,:,2], label= r'$S_2$', color='blue', zorder=1)\n",
    "axs[0].legend(loc='lower right')\n",
    "axs[0].set_title('Predicción de sonidos cardiacos')\n",
    "axs[0].set_yticks([0, 0.5, 1])\n",
    "axs[0].set_ylabel(r'$P(y(n) = k | X)$')\n",
    "\n",
    "axs[1].plot(y_out3)\n",
    "axs[1].set_ylabel(r'$y(n)$ (3 labels)')\n",
    "axs[1].set_yticks([0,1,2])\n",
    "axs[1].set_yticklabels([r'$S_0$', r'$S_1$', r'$S_2$'])\n",
    "axs[1].set_ylim([-0.3, 2.3])\n",
    "\n",
    "axs[2].plot(np.repeat(labels, 20), label='Real', color='C0')\n",
    "axs[2].plot(y_out4, label='Pred', color='C1', linestyle='--', linewidth=3)\n",
    "axs[2].set_xlabel('Tiempo [ms]')\n",
    "axs[2].set_yticks([1,2,3,4])\n",
    "axs[2].set_yticklabels([r'$S_1$', 'Sys', r'$S_2$', 'Dia'])\n",
    "axs[2].set_ylabel(r\"$y'(n)$ (4 labels)\")\n",
    "axs[2].set_ylim([0.7, 4.3])\n",
    "axs[2].legend(loc='lower right')\n",
    "\n",
    "fig.align_ylabels(axs[:])\n",
    "\n",
    "# Remover espacio horizontal entre plots\n",
    "fig.subplots_adjust(wspace=0.1, hspace=0)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3.7.4 64-bit",
   "language": "python",
   "name": "python37464bitab4ed06c875e4946b81a767f6fb6a233"
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  "rise": {
   "scroll": true
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  "varInspector": {
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    "lenType": 16,
    "lenVar": 40
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   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
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     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
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   "types_to_exclude": [
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 "nbformat": 4,
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}
